Travel & Margin Analysis

Quantify excess travel cost and identify optimization opportunities across your field service operation

Tech Placement Detail →

WOs Analyzed

1,351

Total Travel Cost

$162,125

241,977 miles

Avoidable Cost

$149,307

222,846 excess miles

Optimal Cost

$12,818

If closest tech always used

Avg Excess / WO

164.9 mi

$110.52 per WO

Median Excess

54.9 mi

Outlier Rate (>50mi)

51.4%

694 WOs

Actual Travel Expenses

From 91 WOs with expense data

Total Expenses

$19,824

Labor - Travel

$3,901

Mileage

Lodging

$9,386

Airfare

$1,312

Car Rental

$1,307

Per Diem

$3,175

Meals

Other

$744

Cost Overview Actual Expenses Cost Breakdowns Coordinator Analysis Tech Utilization Quick Wins Coverage Gaps Low Hanging Fruit

🎯 Low Hanging Fruit — Biggest Drivers of Excess Travel Cost

Ranked by total avoidable cost across five dimensions. Focus on the top items in each category for the highest ROI improvements.

By Vertical

Which service verticals generate the most excess travel? Clinical Education stands out with very high per-WO excess.

#	Vertical	WOs	Avoidable Cost	Impact	Avg Excess	Outliers	Flew	Actual Expense	Techs
1	Project	1,351	$149,307	100%	164.9 mi	694	✈ 2	$19,824	11

By State

States with the highest total avoidable travel cost.

#	State	WOs	Avoidable Cost	Impact	Avg Excess	Flew
1	FL	1,338	$145,949		162.8 mi	—
2	LA	10	$2,501		373.3 mi	✈ 2

By City

Top cities by total avoidable cost. These are your biggest geographic hotspots.

#	City	State	WOs	Avoidable Cost	Avg Excess	Flew
1	Orlando	FL	945	$116,171	183.5 mi	—
2	Altamonte Springs	FL	91	$13,782	226.0 mi	—
3	Apopka	FL	73	$5,965	122.0 mi	—
4	Port Charlotte	FL	113	$4,956	65.5 mi	—
5	Jefferson	LA	10	$2,501	373.3 mi	✈ 2
6	Minneola	FL	91	$2,186	35.9 mi	—
7	Winter Park	FL	12	$1,534	190.8 mi	—
8	Kissimmee	FL	9	$687	113.9 mi	—
9	Dade City	FL	4	$668	249.2 mi	—

By Coordinator

Coordinators whose dispatching decisions result in the most excess travel. High avg excess suggests systematic over-dispatching; high WO count with moderate excess suggests volume-driven impact.

#	Coordinator	WOs	Avoidable Cost	Avg Excess	Outliers	Flew	Actual Expense	Techs Used
1	Ashley Luman	833	$94,707	169.7 mi	378	—	$4,479	6
2	Angela Roosa	97	$14,835	228.3 mi	62	—	$1,490	6
3	Mandy Newman	122	$14,695	179.8 mi	81	—	$456	6
4	Rebecca Arnold	33	$10,301	465.9 mi	21	—	$405	6
5	Cristina Everetts	67	$4,289	95.5 mi	59	—	$914	6
6	Abby Jinerson	40	$2,423	90.4 mi	16	—	$77	7
7	Jennifer Johnson	6	$1,696	421.9 mi	6	✈ 2	$10,596	2
8	Micah Peters	7	$413	88.1 mi	7	—	—	2

By Technician — Repeat Offenders

Techs who consistently travel far beyond the closest available option. High states-served count may indicate a roaming/national tech; high avg excess with few states suggests a misplaced home base.

#	Technician	WOs	Avoidable Cost	Avg Actual Dist	Avg Excess	Outliers	Flew	States	Actual Expense
1	Konstantin Barskiy	156	$96,522	930 mi	923.5 mi	156	—	1	$1,576
2	Luis Iser	184	$22,361	204 mi	181.4 mi	184	—	1	$3,344
3	Raymond Ebanks	171	$18,219	170 mi	159.0 mi	171	—	1	$2,540
4	Horace Barnes	148	$6,089	69 mi	61.4 mi	119	—	1	$475
5	Derick Velazquez	403	$2,443	25 mi	9.0 mi	52	—	1	$975
6	Kenneth Lancara	7	$1,409	343 mi	300.4 mi	7	✈ 1	1	$6,754
7	Robert Lewis	276	$314	8 mi	1.7 mi	0	—	1	$60